GitHub / josepmonzon61 / Time-Series-Forecasting-of-Daily-Minimum-Temperatures-Using-LSTM

This project implements a deep learning model to forecast daily minimum temperatures using a Long Short-Term Memory (LSTM) network. The dataset, sourced from the Daily Minimum Temperatures dataset, contains daily temperature observations from Melbourne, Australia, spanning from 1981 to 1990.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/josepmonzon61%2FTime-Series-Forecasting-of-Daily-Minimum-Temperatures-Using-LSTM

Topics: aritificial-intelligence, forcasting, temperature, time-sequence

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